Natural Language Processing | Riyanka Bhowal, Walmart
About This Video
Natural language processing has direct real-world applications, from speech recognition to automatic text generation, from lexical semantics understanding to question answering. In just a decade, neural machine learning models became widespread, largely abandoning the statistical methods due to its requirement of elaborate feature engineering. Popular techniques include use of word-embeddings to capture semantic properties of words. In this workshop, we take you through the ever-changing journey of neural models while addressing their boons and banes.
The workshop will address concepts of word-embedding, frequency-based and prediction-based embedding, positional embedding, multi-headed attention and application of the same in unsupervised context.
This workshop was conducted by Riyanka Bhowal, Senior Data Scientist at Walmart Gobal Tech.
In This Video
![](https://www.widsworldwide.org/wp-content/uploads/2023/04/riyanka_orig.png)
Senior Data Scientist, Walmart Global Tech
Riyanka is a Senior Data Scientist at Walmart Global Tech in Bangalore with nearly 6 years of experience in statistical modeling & machine learning. She has a Master’s in degree Applied Statistics & Informatics from Indian Institute of Technology, Bombay (IIT Bombay). Presently, as a part of Digital Facilities team, Riyanka is developing scalable anomaly detection algorithms leveraging IoT sensor data to provide insights into store asset lifecycle decisions.